Temporal and Spatial Analyses of the Landscape Pattern of Wuhan City Based on Remote Sensing Images

ISPRS International Journal of Geo-Information

卷:7

Yao Yao¹  Jianjun Lv¹  Zehao Yuan¹  Zhiwen Dong¹  Teng Ma¹ 

[1] School of Information Engineering, China University of Geosciences, Wuhan 430074, China;

关键词: landscape pattern;    neural network;    remote sensing application;    urban land;    land use;   

DOI  :  10.3390/ijgi7090340

来源: DOAJ

【 摘 要 】

With the acceleration of the process of building a national-level central city in Wuhan, the landscape pattern of the city has undergone tremendous changes. In this paper, remote images are classified through the neural network classification method, based on texture extraction, and the evolution of landscape patterns was quantitatively analyzed, based on the method of moving windows, landscape metrics and urban density calculation, in order to accurately extract landscape types and perform quantitative analyses. Wuhan City is taken as an example. The surface coverage of Wuhan City from 1989 to 2016 is divided into four types: agricultural landscape clusters, forest landscape clusters, water landscape clusters, and urban landscape clusters. It was concluded that, during the study period, the landscape heterogeneity of the entire area in Wuhan has increased, but the central urban area in Wuhan has decreased. The development of urban areas has compacted inwards but expanded outwards. In addition, the western part of Wuhan City developed better than the eastern part.

【 授权许可】

Unknown